Distributed nonconvex constrained optimization over time-varying digraphs

This paper considers nonconvex distributed constrained optimization over networks, modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic framework for the minimization of the sum of a smooth nonconvex (nonseparable) function—the agent’s sum-utility—plus a difference-...

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Veröffentlicht in:	Mathematical programming Jg. 176; H. 1-2; S. 497 - 544
Hauptverfasser:	Scutari, Gesualdo, Sun, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019 Springer Nature B.V
Schlagworte:	Algorithms Calculus of Variations and Optimal Control; Optimization Combinatorics Convergence Economic models Engineering education Full Length Paper Graph theory Machine learning Mathematical and Computational Physics Mathematical Methods in Physics Mathematical models Mathematics Mathematics and Statistics Mathematics of Computing Nonlinear programming Numerical Analysis Optimization Theoretical 90C90 65K10 91A10 65K15 49M27 90C33
ISSN:	0025-5610, 1436-4646
Online-Zugang:	Volltext
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